No abstract

No abstract

Methicillin resistant Staphylococcus aureus (MRSA) is currently a major cause of skin and soft tissue infections (SSTI) in the United States. Seasonal variation of MRSA infections in hospital settings has been widely observed. However, systematic time-series analysis of incidence data is desirable to understand the seasonality of community acquired (CA)-MRSA infections at the population level. In this paper, using data on monthly SSTI incidence in children aged 0–19 years and enrolled in Medicaid in Maricopa County, Arizona, from January 2005 to December 2008, we carried out time-series and nonlinear regression analysis to determine the periodicity, trend, and peak timing in SSTI incidence in children at different age: 0–4 years, 5–9 years, 10–14 years, and 15–19 years. We also assessed the temporal correlation between SSTI incidence and meteorological variables including average temperature and humidity. Our analysis revealed a strong annual seasonal pattern of SSTI incidence with peak occurring in early September. This pattern was consistent across age groups. Moreover, SSTIs followed a significantly increasing trend over the 4-year study period with annual incidence increasing from 3.36% to 5.55% in our pediatric population of approximately 290,000. We also found a significant correlation between the temporal variation in SSTI incidence and mean temperature and specific humidity. Our findings could have potential implications on prevention and control efforts against CA-MRSA.

This paper presents a VLSI implementation of Discrete Wavelet Transform (DWT). The architecture is systolic in nature and performs both h i g h -p a s s and l o w -p a s s coefficient calculations with only one set of multipliers, in contrast to the approaches presented in the literature [ l ] , [2], [3]. The architecture is simple, modular, and cascadable, and has been implemented in VLSI.Experimental results show that real-time coefficient calculation on a 512 X 512 monochrome video input can he achieved with 1.2 pm technology.

The Pfizer-BioNTech COVID-19 vaccine for use in children aged 6 months-4 years was administered as 3 doses (3 µg [0.2 mL] each), at intervals of 3 weeks between doses 1 and 2 and ≥8 weeks between doses 2 and 3; the Moderna COVID-19 vaccine for use in children aged 6 months-5 years was administered as 2 doses (25 µg [0.25 mL] each), 4 weeks apart. Data for Moderna COVID-19 doses administered to children aged 5 years were unavailable. https://covid.cdc.gov/ covid-data-tracker/#vaccination-demographic (Accessed August 16, 2022).

No abstract

This paper presents a VLSI implementation of Discrete Wavelet Transform (DWT). The architecture is systolic in nature and performs both high-pass and low-pass coefficient calculations with only one set of multipliers. The architecture is simple, modular, and cascadable, and has been implemented in VLSI. Simulation results show that real-time coefficient calculation on a 512 X 512 monochrome video'input can be achieved.

No abstract